GLASS: Geometry-aware Local Alignment and Structure Synchronization Network for 2D-3D Registration

ArXi:2603.26262v1 Announce Type: cross Image-to-point cloud registration methods typically follow a coarse-to-fine pipeline, extracting patch-level correspondences and refining them into dense pixel-to-point matches. However, in scenes with repetitive patterns, images often lack sufficient 3D structural cues and alignment with point clouds, leading to incorrect matches. Moreover, prior methods usually overlook structural consistency, limiting the full exploitation of correspondences.